Association of eating patterns and abdominal adiposity in Brazilian

Autores/as

  • Danielle Cristina Guimarães da SILVA Universidade Federal do Oeste da Bahia
  • Kelly Aparecida da Cunha PEREIRA Universidade Federal de Viçosa
  • Wellington SEGHETO Universidade Federal de Viçosa
  • Fabrícia Geralda FERREIRA Universidade Federal de Viçosa
  • Kátia Josiany SEGHETO Universidade Federal de Viçosa
  • Giana Zarbato LONGO Universidade Federal de Viçosa

Palabras clave:

Factor analysis, Feeding behavior, Obesity abdominal

Resumen

Objective
To examine the relationship between dietary patterns and abdominal adiposity among adults living in the urban area of Viçosa, Minas Gerais, Brazil.

Methods
A population-based, cross-sectional study of 959 adults of both sexes. Information on sociodemographic characteristics and dietary intake was collected through questionnaires. Abdominal adiposity was evaluated using waist circumference and the anthropometric indices waist-to-hip ratio and waist-to-height ratio. Food patterns were identified by factor analysis. Poisson regression was used for multivariate analysis.

Results
Abdominal adiposity was identified by waist circumference in 59.06% (95%CI=52.77–65.08) of the sample, by waist-to-hip ratio in 54.65% (95%CI=47.92–61.21), and by waist-to-height ratio in 9% (95%CI=54.61–69.03). Two dietary patterns, named as traditional Brazilian and bar, were identified in the sample, but only the latter was statistically associated with abdominal adiposity determined by the three parameters.

Conclusion
The study identified two eating patterns in the population, a healthy and an unhealthy pattern, the latter being associated with greater odds of abdominal adiposity. Thus, it is important to take measures to reverse this trend. 

Citas

Xu X, Hall J, Byles J, Shi Z. Dietary pattern is associated with obesity in older people in China: Data from China Health and Nutrition Survey (CHNS). Nutrients. 2015;7(9):8170-88.

Aldana MF. Aplicaciones, dificultades y perspectivas del uso de patrones dietarios para entender la relación entre dieta y salud. Salud Pública México. 2007;49:106.

Gutiérrez-Pliego LE, Camarillo-Romero ES, Montenegro-Morales LP, Garduño-García JJ. Dietary patterns associated with body mass index (BMI) and lifestyle in Mexican adolescentes. BMC Public Health. 2016;16(1):850.

Kant AK. Dietary patterns and health outcomes. J Acad Nutr Diet. 2004;104(4):615-35.

Denova-Gutiérrez E, Castañón S, Talavera JO, Flores M, Macías N, Rodríguez-Ramírez S, et al. Dietary patterns are associated with different indexes of adiposity and obesity in an urban. J Nutr. 2011;141(5):921-7.

Vilela AAF, Sichieri R, Pereira RA, Cunha DB, Rodrigues PRM, Gonçalves-Silva RMV, et al. Dietary patterns associated with anthropometric indicators of abdominal fat in adults. Cad Saúde Pública. 2014;30(3):502-10.

Perozzo G, Olinto MTA, Dias-da-Costa JS, Henn RL, Sarriera J, Pattussi MP. Associação dos padrões alimentares com obesidade geral e abdominal em mulheres residentes no Sul do Brasil. Cad Saúde Pública. 2008;24(10):2427-39.

Moreira PL, Corrente JE, Villas Boas PJF, Ferreira ALA. Dietary patterns are associated with general and central obesity in elderly living in a Brazilian city. Rev Assoc Med Bras. 2014;60(5):457-64.

Friedman DS, Ford ES. Are the recent secular increases in the waist circumference of adults independent of changes in BMI? Am J Clin Nutr. 2015;101(3):425-31.

Oliveira LC, West LEM, Araújo EA, Brito JS, Nascimento SCL. Prevalência de adiposidade abdominal em adultos de São Francisco do Conde, Bahia, Brasil, 2010. Epidemiol Serv Saúde. 2015;24(1):135-44.

Olinto MTA, Nácul LC, Dias-da-Costa JS, Gigante DP, Menezes AMB, Macedo S. Níveis de intervenção para obesidade abdominal: prevalência e fatores associados. Cad Saúde Pública. 2006;22(6):1207-15.

Costa MAP, Vasconcelos AGG, Fonseca MJM. Prevalência de obesidade, excesso de peso e obesidade abdominal e associação com prática de atividade física em uma universidade federal. Rev Bras Epidemiol. 2014;17(2):421-36.

Instituto Brasileiro de Geografia e Estatística. Censo demográfico 2010. Rio de Janeiro: IBGE; 2010.

Dean AG, Dean JA, Colombier D, Brendel KA, Smith DC, Burton AH, et al. Epi Info, version 6: A word processing, database, and statistics program for epidemiology on microcomputers. Atlanta (GA): Centers for Disease Control and Prevention; 1994.

Segheto W, Silva DCG, Coelho FA, Reis VG, Morais SHO, Marins JCB Body adiposity index and associated factors in adults: Method and logistics of a population-based study. Nutr Hosp. 2015;32:101-9.

Associação Brasileira de Empresas de Pesquisa. Critério de classificação econômica Brasil, 2011 [acesso 2015 fev 25]. Disponível em: www.abep.com.br

Menezes AMB, Victora CG, Perez-Padilla R. The Platino project: Methodology of a multicenter prevalence survey of chronic obstructive pulmonary disease in major Latin American cities. BMC Med Res Methodol. 2004;4(15):1-17.

Furlan-Viebig R, Pastor-Valero M. Development of a food frequency questionnaire to study diet and non-communicable diseases in adult population. Rev Saúde Pública. 2014;38(4):581-4.

Vasconcellos MB, Anjos LA, Vasconcellos MTL. Estado nutricional e tempo de tela de escolares do ensino fundamental do município de Niterói, RJ. Cad Saúde Pública. 2013;29(4):713-22

International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome. Brussels: International Diabetes Federation; 2005.

Ashwell M, Hsieh SD. Six reasons why the waistto-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr. 2005;56(5):303-7.

Hoffmann M, Mendes KG, Canuto R, Garcez AS, Theodoro H, Rodrigues AD, et al. Padrões alimentares de mulheres no climatério em atendimento ambulatorial no Sul do Brasil. Ciênc Saúde Coletiva. 2015;20(5):1565-74.

Pan American Health Organization. Ultra-processed food and drink products in Latin America: Trends, impact on obesity, policy implications. Washington (DC): PAHO; 2015.

Monteiro CA, Moubarac JC, Cannon G, Ng SW, Popkin B. Ultra-processed products are becoming dominant in the global food system. Obes Res. 2013;14(Suppl. 2):21-28.

McEvoy CT, Cardwell CR, Chakravarthy U, Hogg RE, McKinley MC, Young IS, et al. A Posterioriderived dietary patterns and retinal vessel caliber in an elderly population. Invest Ophthalmol Vis Sci. 2013;54(2):1337-44.

Rodrigues PRM, Pereira RA, Cunha DB, Sichieri R, Ferreira MG, Vilela AAF, et al. Fatores associados a padrões alimentares em adolescentes: um estudo de base escolar em Cuiabá, Mato Grosso. Rev Bras Epidemiol. 2012;15(3):662-74.

Ferreira PM, Papini SJ, Corrente JE. Diversity of eating patterns in older adults: A new scenario? Rev Nutr. 2014;27(1):67-79. http://doi.org/10.1590/1415-52732014000100007

Borges CA, Rinaldi AE, Conde WL, Mainardi GM, Behar D, Slater B, et al. Padrões alimentares estimados por técnicas multivariadas: uma revisão da literatura sobre os procedimentos adotados nas etapas analíticas. Rev Bras Epidemiol. 2015;18(4):837-57.

Neumann AIP, Martins IS, Marcopito LF, Araujo EAC. Padrões alimentares associados a fatores de risco para doenças cardiovasculares entre residentes de um município brasileiro. Rev Panam Salud Pública. 2007;22(5):329-39.

Cunha DB, Almeida RMVR, Sichieri R, Pereira RA. Association of dietary patterns with BMI and waist circumference in a low-income neighbourhood in Brazil. Br J Nutr. 2010;104(6):908-13.

Rossi M, Negri E, Bosetti C, Dal Maso L, Talamini R, Giacosa A, et al. Mediterranean diet in relation to body mass index and waist-to-hip ratio. Public Health Nutr. 2007;11(2):214-7.

Olinto MTA, Gigante DP, Horta B, Silveira V, Oliveira I, Willett W. Major dietary patterns and cardiovascular risk factors among young Brazilian adults. Eur J Nutr. 2012;51(3):281-91.

Arruda SPM, Silva AAM, Kac G, Vilela AA, Goldani M, Bettiol H, et al. Dietary patterns are associated with excess weight and abdominal obesity in a cohort of young Brazilian adults. Eur J Nutr. 2016;55(6):2081-91.

Xu X, Byles J, Shi Z, McElduff P, Hall J. Dietary pattern transitions, and the associations with BMI, waist circumference, weight and hypertension in a 7-year follow-up among the older Chinese population: A longitudinal study. BMC Public Health. 2016;16:743.

Jonge EAL, Rivadeneira F, Erler NS, Hofman A, Uitterlinden AG, Franco OH, et al. Dietary Patterns in an elderly population and their relation with bone mineral density: The Rotterdam study. Eur J Nutr. 2016;105(1):203-11.

Ferreira SRG. Alimentação, nutrição e saúde: avanços e conflitos da modernidade. Ciênc Cult. 2010;62(4):31-3.

Descargas

Publicado

2023-03-10

Cómo citar

Guimarães da SILVA, D. C. ., da Cunha PEREIRA, K. A., SEGHETO, W., FERREIRA, F. G., SEGHETO, K. J. ., & Zarbato LONGO, G. (2023). Association of eating patterns and abdominal adiposity in Brazilian . Revista De Nutrição, 30(6). Recuperado a partir de https://puccampinas.emnuvens.com.br/nutricao/article/view/7730

Número

Sección

ARTIGOS ORIGINAIS